Default string Default string
Geekbench AI Score
3180
Single Precision Score
997
Half Precision Score
3076
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 27 2026 03:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2686 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | MACHINIST E5-MR9A PRO |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2686 v4 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
2994
559.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
3256
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7113
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
8918
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
2046
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
6939
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
5150
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7527
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7838
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15211
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10935
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11964
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2607
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (Q)
|
97% |
249
333.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (Q)
|
68% |
1360
26.3 IPS |
